datasets/images/0.jpg
datasets/images/10.jpg
datasets/images/100.jpg
datasets/images/1001.jpg
datasets/images/1002.jpg
datasets/images/1004.jpg
datasets/images/1005.jpg
datasets/images/1006.jpg
datasets/images/1007.jpg
datasets/images/1008.jpg
datasets/images/1009.jpg
datasets/images/101.jpg
datasets/images/1010.jpg
datasets/images/1011.jpg
datasets/images/1012.jpg
datasets/images/1013.jpg
datasets/images/1014.jpg
datasets/images/1015.jpg
datasets/images/1016.jpg
datasets/images/1018.jpg
datasets/images/1019.jpg
datasets/images/102.jpg
datasets/images/1020.jpg
datasets/images/1023.jpg
datasets/images/1024.jpg
datasets/images/1025.jpg
datasets/images/1027.jpg
datasets/images/1028.jpg
datasets/images/1029.jpg
datasets/images/103.jpg
datasets/images/1030.jpg
datasets/images/1031.jpg
datasets/images/1033.jpg
datasets/images/1034.jpg
datasets/images/1035.jpg
datasets/images/1036.jpg
datasets/images/1037.jpg
datasets/images/1038.jpg
datasets/images/1039.jpg
datasets/images/104.jpg
datasets/images/1040.jpg
datasets/images/1041.jpg
datasets/images/1042.jpg
datasets/images/1043.jpg
datasets/images/1044.jpg
datasets/images/1048.jpg
datasets/images/1050.jpg
datasets/images/1051.jpg
datasets/images/1052.jpg
datasets/images/1055.jpg
datasets/images/1056.jpg
datasets/images/1057.jpg
datasets/images/1058.jpg
datasets/images/1059.jpg
datasets/images/106.jpg
datasets/images/1060.jpg
datasets/images/1061.jpg
datasets/images/1062.jpg
datasets/images/1063.jpg
datasets/images/1064.jpg
datasets/images/1065.jpg
datasets/images/1066.jpg
datasets/images/1067.jpg
datasets/images/1068.jpg
datasets/images/1069.jpg
datasets/images/107.jpg
datasets/images/1071.jpg
datasets/images/1073.jpg
datasets/images/1074.jpg
datasets/images/1077.jpg
datasets/images/1078.jpg
datasets/images/1079.jpg
datasets/images/108.jpg
datasets/images/1080.jpg
datasets/images/1082.jpg
datasets/images/1083.jpg
datasets/images/1084.jpg
datasets/images/1085.jpg
datasets/images/1087.jpg
datasets/images/1088.jpg
datasets/images/1089.jpg
datasets/images/1090.jpg
datasets/images/1091.jpg
datasets/images/1092.jpg
datasets/images/1093.jpg
datasets/images/1094.jpg
datasets/images/1095.jpg
datasets/images/1096.jpg
datasets/images/1098.jpg
datasets/images/1099.jpg
datasets/images/11.jpg
datasets/images/110.jpg
datasets/images/1100.jpg
datasets/images/1101.jpg
datasets/images/1102.jpg
datasets/images/1103.jpg
datasets/images/1104.jpg
datasets/images/1105.jpg
datasets/images/1106.jpg
datasets/images/1107.jpg
datasets/images/1108.jpg
datasets/images/1109.jpg
datasets/images/111.jpg
datasets/images/1110.jpg
datasets/images/1111.jpg
datasets/images/1112.jpg
datasets/images/1114.jpg
datasets/images/1117.jpg
datasets/images/1118.jpg
datasets/images/112.jpg
datasets/images/1121.jpg
datasets/images/1123.jpg
datasets/images/1124.jpg
datasets/images/1125.jpg
datasets/images/1126.jpg
datasets/images/1127.jpg
datasets/images/1129.jpg
datasets/images/113.jpg
datasets/images/1130.jpg
datasets/images/1131.jpg
datasets/images/1132.jpg
datasets/images/1133.jpg
datasets/images/1134.jpg
datasets/images/1135.jpg
datasets/images/1136.jpg
datasets/images/1137.jpg
datasets/images/1138.jpg
datasets/images/1139.jpg
datasets/images/114.jpg
datasets/images/1140.jpg
datasets/images/1142.jpg
datasets/images/1143.jpg
datasets/images/1146.jpg
datasets/images/1147.jpg
datasets/images/1148.jpg
datasets/images/1149.jpg
datasets/images/115.jpg
datasets/images/1150.jpg
datasets/images/1151.jpg
datasets/images/1152.jpg
datasets/images/1153.jpg
datasets/images/1154.jpg
datasets/images/1155.jpg
datasets/images/1156.jpg
datasets/images/1157.jpg
datasets/images/1159.jpg
datasets/images/116.jpg
datasets/images/1162.jpg
datasets/images/1163.jpg
datasets/images/1164.jpg
datasets/images/1165.jpg
datasets/images/1166.jpg
datasets/images/1167.jpg
datasets/images/1168.jpg
datasets/images/117.jpg
datasets/images/1170.jpg
datasets/images/1171.jpg
datasets/images/1172.jpg
datasets/images/1173.jpg
datasets/images/1174.jpg
datasets/images/1175.jpg
datasets/images/1176.jpg
datasets/images/1178.jpg
datasets/images/1181.jpg
datasets/images/1184.jpg
datasets/images/1185.jpg
datasets/images/1186.jpg
datasets/images/1187.jpg
datasets/images/1189.jpg
datasets/images/119.jpg
datasets/images/1190.jpg
datasets/images/1191.jpg
datasets/images/1193.jpg
datasets/images/1194.jpg
datasets/images/1195.jpg
datasets/images/1196.jpg
datasets/images/1197.jpg
datasets/images/1198.jpg
datasets/images/1199.jpg
datasets/images/12.jpg
datasets/images/120.jpg
datasets/images/1200.jpg
datasets/images/1202.jpg
datasets/images/1203.jpg
datasets/images/1204.jpg
datasets/images/1205.jpg
datasets/images/1206.jpg
datasets/images/1207.jpg
datasets/images/1208.jpg
datasets/images/121.jpg
datasets/images/1210.jpg
datasets/images/1211.jpg
datasets/images/1212.jpg
datasets/images/1213.jpg
datasets/images/1214.jpg
datasets/images/1215.jpg
datasets/images/1216.jpg
datasets/images/1217.jpg
datasets/images/1219.jpg
datasets/images/122.jpg
datasets/images/1220.jpg
datasets/images/1221.jpg
datasets/images/1222.jpg
datasets/images/1224.jpg
datasets/images/1225.jpg
datasets/images/1227.jpg
datasets/images/1228.jpg
datasets/images/1229.jpg
datasets/images/1230.jpg
datasets/images/1231.jpg
datasets/images/1232.jpg
datasets/images/1235.jpg
datasets/images/1236.jpg
datasets/images/1237.jpg
datasets/images/1238.jpg
datasets/images/1239.jpg
datasets/images/124.jpg
datasets/images/1240.jpg
datasets/images/1241.jpg
datasets/images/1243.jpg
datasets/images/1244.jpg
datasets/images/1247.jpg
datasets/images/1249.jpg
datasets/images/125.jpg
datasets/images/1250.jpg
datasets/images/1251.jpg
datasets/images/1252.jpg
datasets/images/1253.jpg
datasets/images/1255.jpg
datasets/images/1256.jpg
datasets/images/1259.jpg
datasets/images/126.jpg
datasets/images/1260.jpg
datasets/images/1262.jpg
datasets/images/1263.jpg
datasets/images/1264.jpg
datasets/images/1265.jpg
datasets/images/1267.jpg
datasets/images/1268.jpg
datasets/images/1269.jpg
datasets/images/127.jpg
datasets/images/1270.jpg
datasets/images/1271.jpg
datasets/images/1273.jpg
datasets/images/1274.jpg
datasets/images/1276.jpg
datasets/images/1277.jpg
datasets/images/1278.jpg
datasets/images/128.jpg
datasets/images/1280.jpg
datasets/images/1281.jpg
datasets/images/1282.jpg
datasets/images/1283.jpg
datasets/images/1284.jpg
datasets/images/1285.jpg
datasets/images/1286.jpg
datasets/images/1287.jpg
datasets/images/1288.jpg
datasets/images/1289.jpg
datasets/images/1290.jpg
datasets/images/1291.jpg
datasets/images/1292.jpg
datasets/images/1294.jpg
datasets/images/1295.jpg
datasets/images/1296.jpg
datasets/images/1297.jpg
datasets/images/13.jpg
datasets/images/1300.jpg
datasets/images/1301.jpg
datasets/images/1302.jpg
datasets/images/1303.jpg
datasets/images/1304.jpg
datasets/images/1305.jpg
datasets/images/1306.jpg
datasets/images/1307.jpg
datasets/images/1309.jpg
datasets/images/131.jpg
datasets/images/1310.jpg
datasets/images/1311.jpg
datasets/images/1312.jpg
datasets/images/1313.jpg
datasets/images/1316.jpg
datasets/images/1317.jpg
datasets/images/1318.jpg
datasets/images/1319.jpg
datasets/images/132.jpg
datasets/images/1320.jpg
datasets/images/1321.jpg
datasets/images/1322.jpg
datasets/images/1324.jpg
datasets/images/1325.jpg
datasets/images/1326.jpg
datasets/images/1327.jpg
datasets/images/1328.jpg
datasets/images/1329.jpg
datasets/images/1331.jpg
datasets/images/1332.jpg
datasets/images/1334.jpg
datasets/images/1335.jpg
datasets/images/1336.jpg
datasets/images/1337.jpg
datasets/images/1338.jpg
datasets/images/1339.jpg
datasets/images/1340.jpg
datasets/images/1341.jpg
datasets/images/1342.jpg
datasets/images/1343.jpg
datasets/images/1345.jpg
datasets/images/1346.jpg
datas
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
1、YOLO泊车位目标检测数据集(含10000张图片),真实场景的高质量图片数据,数据场景丰富。使用lableimg标注软件标注,标注框质量高,含voc(xml)、coco(json)和yolo(txt)三种格式标签,分别存放在不同文件夹下,可以直接用于YOLO系列的目标检测。 2、附赠YOLO环境搭建、训练案例教程和数据集划分脚本,可以根据需求自行划分训练集、验证集、测试集。 3、数据集详情展示和更多数据集下载:https://blog.csdn.net/m0_64879847/article/details/132301975 4、如需 其他种类数据集 或 更多数量 请私信博主~
资源推荐
资源详情
资源评论
收起资源包目录
YOLO泊车位目标检测数据集(含10000张图片)+对应voc、coco和yolo三种格式标签+划分脚本+训练教程.rar (2000个子文件)
1. 三个数据集划分脚本使用说明.html 46KB
2、YOLO环境搭建Linux版本.html 41KB
3、YOLO训练教程Linux版本(根据案例修改训练自己的数据集).html 20KB
2、YOLO训练教程Windows版本(根据案例修改训练自己的数据集).html 16KB
1、YOLO环境搭建Windows版本.html 14KB
1、Linux之Ubuntu环境安装教程.html 9KB
训练集、验证集、测试集划分脚本(图片标签划分写入新文件夹).py 3KB
训练集、验证集划分脚本(图片标签划分写入新文件夹).py 3KB
split_train_val生成ImageSets下txt文件划分脚本.py 1KB
train_list.txt 202KB
trainval_list.txt 51KB
test_list.txt 40KB
val_list.txt 10KB
requirements.txt 892B
标签类别说明.txt 250B
8404.xml 4KB
2624.xml 4KB
4741.xml 4KB
2167.xml 4KB
8095.xml 4KB
5099.xml 4KB
8945.xml 4KB
1368.xml 3KB
2994.xml 3KB
9331.xml 3KB
1926.xml 3KB
496.xml 3KB
6038.xml 3KB
8270.xml 3KB
9428.xml 3KB
1576.xml 3KB
9078.xml 3KB
8969.xml 3KB
6214.xml 3KB
9543.xml 3KB
6309.xml 3KB
2035.xml 3KB
4880.xml 3KB
1605.xml 3KB
2966.xml 3KB
7879.xml 3KB
6225.xml 3KB
821.xml 3KB
1126.xml 3KB
2879.xml 3KB
174.xml 3KB
880.xml 3KB
5163.xml 3KB
1710.xml 3KB
685.xml 3KB
156.xml 3KB
8183.xml 3KB
588.xml 3KB
2789.xml 3KB
3874.xml 3KB
3050.xml 3KB
7745.xml 3KB
5236.xml 3KB
2321.xml 3KB
8758.xml 3KB
3329.xml 3KB
5468.xml 3KB
7299.xml 3KB
1913.xml 3KB
8962.xml 3KB
1439.xml 3KB
5645.xml 3KB
7607.xml 3KB
6547.xml 3KB
6726.xml 3KB
4828.xml 3KB
8981.xml 3KB
2524.xml 3KB
4180.xml 3KB
3652.xml 3KB
8784.xml 3KB
4329.xml 3KB
2711.xml 3KB
7485.xml 3KB
5946.xml 3KB
4052.xml 3KB
9968.xml 3KB
4145.xml 3KB
6701.xml 3KB
7129.xml 3KB
872.xml 3KB
5426.xml 3KB
521.xml 3KB
9578.xml 3KB
708.xml 3KB
3066.xml 3KB
398.xml 3KB
4056.xml 3KB
3871.xml 3KB
5031.xml 3KB
7846.xml 3KB
3095.xml 3KB
6759.xml 3KB
8316.xml 3KB
9266.xml 3KB
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
YOLO数据集工作室
- 粉丝: 679
- 资源: 1587
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功